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An example of Gaussian Process Regression (prediction) when compared with other regression designs[ninety one] A Gaussian procedure can be a stochastic procedure in which every finite selection of the random variables in the process features a multivariate normal distribution, and it relies over a pre-outlined covariance function, or kernel, that d